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Int. J. Environ. Res. Public Health 2018, 15(3), 436; doi:10.3390/ijerph15030436

Grey Language Hesitant Fuzzy Group Decision Making Method Based on Kernel and Grey Scale

School of Business, Linyi University, Linyi 276000, China
Author to whom correspondence should be addressed.
Received: 29 January 2018 / Revised: 26 February 2018 / Accepted: 27 February 2018 / Published: 2 March 2018
(This article belongs to the Special Issue Decision Models in Green Growth and Sustainable Development)
View Full-Text   |   Download PDF [342 KB, uploaded 7 March 2018]


Based on grey language multi-attribute group decision making, a kernel and grey scale scoring function is put forward according to the definition of grey language and the meaning of the kernel and grey scale. The function introduces grey scale into the decision-making method to avoid information distortion. This method is applied to the grey language hesitant fuzzy group decision making, and the grey correlation degree is used to sort the schemes. The effectiveness and practicability of the decision-making method are further verified by the industry chain sustainable development ability evaluation example of a circular economy. Moreover, its simplicity and feasibility are verified by comparing it with the traditional grey language decision-making method and the grey language hesitant fuzzy weighted arithmetic averaging ( G L H W A A ) operator integration method after determining the index weight based on the grey correlation. View Full-Text
Keywords: kernel and grey scale; grey language; hesitant fuzzy; grey correlation kernel and grey scale; grey language; hesitant fuzzy; grey correlation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Li, Q.; Diao, Y.; Gong, Z.; Hu, A. Grey Language Hesitant Fuzzy Group Decision Making Method Based on Kernel and Grey Scale. Int. J. Environ. Res. Public Health 2018, 15, 436.

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